Application of Adaptive SSA in Low Power Cluster Routing Matlab Simulation Education.

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Bibliographic Details
Title:	Application of Adaptive SSA in Low Power Cluster Routing Matlab Simulation Education.
Authors:	Xiao-Ling Guo¹ 175666832@qq.com, Xing-Hua Sun² 1030704295@qq.com, Rui Wang¹ 33403408@qq.com, Bing-Qing Han³ 2559403868@qq.com, Xin-Yu Yang³ 990820203@qq.com
Source:	IAENG International Journal of Computer Science. Dec2024, Vol. 51 Issue 12, p1987-1995. 9p.
Subjects:	Clustering algorithms, Cosine function, Sine function, Energy consumption, Simulation methods in education
Abstract:	The low-power cluster routing protocol is a significant research focus in the WSN course. The utilization of Matlab for digital modeling and teaching simulation significantly enhances the understanding of this particular subject matter. This article introduces a low-power cluster routing algorithm based on the adaptive SSA and applies it to the simulation teaching process. Firstly, the SSA is enhanced by sine and cosine functions, with the addition of an adaptive adjustment factor. Subsequently, Levy flight is incorporated into SSA to improve its ability to escape from localized extremes. Additionally, a standard normal distribution random number is introduced to increase individual diversity within the algorithm's population. Furthermore, this proposed adaptive algorithm ASSA undergoes testing for convergence accuracy and speed using standard test functions. Finally, the proposed algorithm ASSA is utilized in cluster routing algorithms and simulation teaching. This article utilizes MATLAB simulation analysis tool for modeling and visually demonstrating processes such as cluster head election, clustering, data communication, and node death in clustering algorithms. Simultaneously, it illustrates how the ASSA algorithm effectively reduces energy consumption in each round and prolongs system stability running time to students. This simulation teaching process enables students to gain a deeper and more intuitive understanding of important features such as low power consumption of nodes, system lifetime, and energy utilization; thereby enhancing teaching effectiveness. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	The low-power cluster routing protocol is a significant research focus in the WSN course. The utilization of Matlab for digital modeling and teaching simulation significantly enhances the understanding of this particular subject matter. This article introduces a low-power cluster routing algorithm based on the adaptive SSA and applies it to the simulation teaching process. Firstly, the SSA is enhanced by sine and cosine functions, with the addition of an adaptive adjustment factor. Subsequently, Levy flight is incorporated into SSA to improve its ability to escape from localized extremes. Additionally, a standard normal distribution random number is introduced to increase individual diversity within the algorithm's population. Furthermore, this proposed adaptive algorithm ASSA undergoes testing for convergence accuracy and speed using standard test functions. Finally, the proposed algorithm ASSA is utilized in cluster routing algorithms and simulation teaching. This article utilizes MATLAB simulation analysis tool for modeling and visually demonstrating processes such as cluster head election, clustering, data communication, and node death in clustering algorithms. Simultaneously, it illustrates how the ASSA algorithm effectively reduces energy consumption in each round and prolongs system stability running time to students. This simulation teaching process enables students to gain a deeper and more intuitive understanding of important features such as low power consumption of nodes, system lifetime, and energy utilization; thereby enhancing teaching effectiveness. [ABSTRACT FROM AUTHOR]
ISSN:	1819656X